Senior Manager Data Engineering - Financial Systems, FinTech
Role details
Job location
Tech stack
Job description
As Senior Data Engineering Manager, you lead multiple teams of data managers and data engineers responsible for one of our most critical assets: data. You combine deep technical expertise with strong people leadership to design and deliver scalable, governed data solutions across the company, both batch and real-time. You mentor leaders in your teams, set consistent standards, and build frameworks and processes that ensure high-quality, reusable data products that support a wide range of product and insights initiatives., * Own the design of logical and physical data models and data domains that meet business requirements and fit Booking.com's workflows and infrastructure.
- Map and optimize data flows end-to-end, developing scalable tooling and automation to manage the full data life cycle with proper controls.
- Build robust, efficient data ingestion, batch processing and streaming pipelines that enable real-time actions and fast, data-driven decisions.
- Define and enforce data quality, monitoring and reliability standards (SLIs/SLOs) to ensure accurate, timely and complete data across all assets.
- Partner with senior leaders to set data definitions, choose appropriate technologies, and ensure solutions comply with data protection and governance standards.
- Lead, mentor and coach teams, simplifying complex concepts, resolving cross-domain issues, and driving continuous improvement across data engineering practices.
- Champion the data management craft at Booking.com by sharing knowledge, training and mentoring, and scaling common tooling and infrastructure with central teams.
Requirements
Do you have experience in Spark?, * Technical subject matter expertise and thorough hands-on experience in data focused teams (8+ years working in technology)
- Experience in shaping and leading a data engineering function across multiple products or business areas (3+ years as a senior manager)
- Strong knowledge of data modeling methods (Relational, Dimensional)
- Strong knowledge of SAP Data Stack (HANA,SAC,S4) - a Must
- Strong knowledge of Financial data structures and business process - a Must
- Experience with designing end state solutions for Fianance Towers (O2C,R2R,Treasury, Payments Etc)
- Strong knowledge of data quality requirements and implementation methodologies
- Strong knowledge of and extensive experience with data storage and processing technologies, e.g. MySQL, Kafka, Cassandra, S3, Spark, Flink, Snowflake
Benefits & conditions
Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:
- Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
- Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
- Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide;
- Working in a fast-paced and performance driven culture;
- Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
- Promote and drive impactful and innovative engineering solutions
- Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
- Need more flexibility in your work week? We are happy to consider part-time, and reduced working week opportunities* (min. 32 hours per week, subject to terms and conditions)